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Vetted PostgreSQL Professionals
Pre-screened and vetted.
Senior Java Full-Stack Developer specializing in microservices and cloud (AWS)
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent LLM systems
Senior Full-Stack Engineer specializing in growth, analytics, and funnel optimization
Mid-Level Software Engineer specializing in full-stack systems and authentication
Mid-Level Software Developer specializing in backend systems and data engineering
Mid-Level Software Engineer specializing in platform reliability and microservices
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and SPAs
Mid-level Backend Software Engineer specializing in APIs and scalable enterprise systems
Senior Python Backend Engineer specializing in scalable APIs, cloud microservices, and AI/ML platforms
Senior Software QA Engineer specializing in test automation and CI/CD
Senior Full-Stack Python Engineer specializing in secure cloud platforms and ML systems
Staff/Lead Full-Stack Software Engineer specializing in .NET, Angular, and cloud architecture
Senior QA Automation & Performance Engineer specializing in web, API, and cloud testing
Senior Full-Stack Engineer specializing in Clojure, AWS, and scalable web APIs
Senior Full-Stack Engineer specializing in Python, cloud-native microservices, and React
Mid-level SQL Developer specializing in MySQL, ETL, and cloud data pipelines
Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3
Naveen Kancharla
Mid-level AI & Backend Engineer specializing in RAG systems and scalable APIs
“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”
Swarag Reddy Pingili
Junior AI/ML Software Engineer specializing in LLM agents and RAG systems
“AI/back-end engineer at Canon who helped build and operate an internal production LLM platform that acts as a secure middle layer between users and models, defending against jailbreaks/prompt injection while enabling RAG, memory, and grounded responses over company data. Experienced with LangChain/LangGraph orchestration, vector DB retrieval, and reliability practices (testing, monitoring, adversarial prompts) to run high-throughput, low-latency AI workflows in production.”